Multiple regression model coefficients and performance statistics for morning cortisol only model
Parameter . | Parameter-wise shrunken estimate . | Standard error of shrunken estimate . | Shrinkage factor . | P value of parameter . |
---|---|---|---|---|
Intercept | −54.476 | 13.510 | 0.9890 | 0.0073 |
β1 | 325.134 | 10.480 | 0.9987 | 1.808 ×10−90 |
Performance measure | Development dataset | Validation dataset | ||
R2 | 0.656 (0.593-0.718) | 0.526 (0.218-0.834) | ||
Root mean squared error | 110.3 (99.1-121.5) | 140.9 (78.7-203.0) | ||
Calibration slope | 1.00 (0.94-1.06) | 0.92 (0.73-1.09) | ||
Calibration Intercept | −0.5 (23.9-22.9) | 39.0 (−36.8 to 114.7) | ||
AUC at pass threshold of 430 nmol/L | 0.839 (0.806-0.873) | 0.879 (0.812-0.945) |
Parameter . | Parameter-wise shrunken estimate . | Standard error of shrunken estimate . | Shrinkage factor . | P value of parameter . |
---|---|---|---|---|
Intercept | −54.476 | 13.510 | 0.9890 | 0.0073 |
β1 | 325.134 | 10.480 | 0.9987 | 1.808 ×10−90 |
Performance measure | Development dataset | Validation dataset | ||
R2 | 0.656 (0.593-0.718) | 0.526 (0.218-0.834) | ||
Root mean squared error | 110.3 (99.1-121.5) | 140.9 (78.7-203.0) | ||
Calibration slope | 1.00 (0.94-1.06) | 0.92 (0.73-1.09) | ||
Calibration Intercept | −0.5 (23.9-22.9) | 39.0 (−36.8 to 114.7) | ||
AUC at pass threshold of 430 nmol/L | 0.839 (0.806-0.873) | 0.879 (0.812-0.945) |
Numbers in brackets correspond to 95% CI. Parameters correspond to morning cortisol only model: 30-minute cortisol = Intercept + β1 × √(baseline cortisol/100).
Abbreviation: AUC, area under receiver operated characteristics curve.
Multiple regression model coefficients and performance statistics for morning cortisol only model
Parameter . | Parameter-wise shrunken estimate . | Standard error of shrunken estimate . | Shrinkage factor . | P value of parameter . |
---|---|---|---|---|
Intercept | −54.476 | 13.510 | 0.9890 | 0.0073 |
β1 | 325.134 | 10.480 | 0.9987 | 1.808 ×10−90 |
Performance measure | Development dataset | Validation dataset | ||
R2 | 0.656 (0.593-0.718) | 0.526 (0.218-0.834) | ||
Root mean squared error | 110.3 (99.1-121.5) | 140.9 (78.7-203.0) | ||
Calibration slope | 1.00 (0.94-1.06) | 0.92 (0.73-1.09) | ||
Calibration Intercept | −0.5 (23.9-22.9) | 39.0 (−36.8 to 114.7) | ||
AUC at pass threshold of 430 nmol/L | 0.839 (0.806-0.873) | 0.879 (0.812-0.945) |
Parameter . | Parameter-wise shrunken estimate . | Standard error of shrunken estimate . | Shrinkage factor . | P value of parameter . |
---|---|---|---|---|
Intercept | −54.476 | 13.510 | 0.9890 | 0.0073 |
β1 | 325.134 | 10.480 | 0.9987 | 1.808 ×10−90 |
Performance measure | Development dataset | Validation dataset | ||
R2 | 0.656 (0.593-0.718) | 0.526 (0.218-0.834) | ||
Root mean squared error | 110.3 (99.1-121.5) | 140.9 (78.7-203.0) | ||
Calibration slope | 1.00 (0.94-1.06) | 0.92 (0.73-1.09) | ||
Calibration Intercept | −0.5 (23.9-22.9) | 39.0 (−36.8 to 114.7) | ||
AUC at pass threshold of 430 nmol/L | 0.839 (0.806-0.873) | 0.879 (0.812-0.945) |
Numbers in brackets correspond to 95% CI. Parameters correspond to morning cortisol only model: 30-minute cortisol = Intercept + β1 × √(baseline cortisol/100).
Abbreviation: AUC, area under receiver operated characteristics curve.
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